背景:肥胖与加速衰老相关。本研究旨在探讨内脏脂肪指数(VAI)与加速衰老之间的关系。
方法:通过表型年龄加速(PhenoAgeAccel)评估生物衰老。利用1999年至2010年进行的国家健康和营养调查(NHANES)的数据,我们采用加权多变量逻辑回归模型,随着子群分析,检查VAI和PhenoAgeAccel之间的关联。此外,平滑曲线拟合用于识别潜在的非线性关联,辅以两片式线性回归模型来研究阈值效应。
结果:在纳入的11,340名20岁及以上的参与者中,平均(95%CI)年龄为46.569(45.946,47.191)岁,男性占49.189%。所有参与者的平均(95%CI)VAI为2.176(2.114,2.238),平均(95%CI)PhenoAgeAccel为-6.306(-6.618,-5.994)年。在完全调整的模型中,VAI的每增量单位增加与PhenoAgeAccel的0.312年增加相关(β=0.312,95%CI:0.217,0.408).这种正相关在癌症患者中更具统计学意义。此外,在VAI和PhenoAgeAccel之间观察到分段关联,在10.543确定一个转折点。低于这个门槛,VAI与PhenoAgeAccel呈正相关(β=0.617,95%CI:0.499,0.735),而超越它,关联变得不重要。
结论:这项研究表明,在具有全国代表性的人群中,VAI与加速衰老之间存在正相关。研究结果表明,控制肥胖可能会发挥抗衰老作用,并有助于预防与衰老有关的疾病。
BACKGROUND: Obesity correlates with accelerated aging. This study aims to investigate the association between the visceral adiposity index (VAI) and accelerated aging.
METHODS: Biological aging was evaluated by phenotypic age acceleration (PhenoAgeAccel). Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2010, we employed weighted multivariable logistic regression models, along with subgroup analysis, to examine the association between VAI and PhenoAgeAccel. Moreover, smooth curve fitting was utilized to identify potential nonlinear association, complemented by a two-piece linear regression model to investigate threshold effects.
RESULTS: Of the included 11,340 participants aged 20 years and older, the mean (95% CI) age was 46.569 (45.946, 47.191) years, and 49.189% were male. The mean (95% CI) VAI for all participants was 2.176 (2.114, 2.238), and the mean (95% CI) PhenoAgeAccel was -6.306 (-6.618, -5.994) years. In the fully adjusted model, each incremental unit increase of VAI was associated with a 0.312-year increase in PhenoAgeAccel (β = 0.312, 95% CI: 0.217, 0.408). This positive association was more statistically significant among individuals with cancer. Furthermore, a segmented association was observed between VAI and PhenoAgeAccel, with a turning point identified at 10.543. Below this threshold, VAI exhibited a positive correlation with PhenoAgeAccel (β = 0.617, 95% CI: 0.499, 0.735), while beyond it, the association became nonsignificant.
CONCLUSIONS: This study demonstrated a positive association between VAI and accelerated aging within a nationally representative population. The findings suggest that controlling adiposity may exert anti-aging effects and help prevent aging-related diseases.